Method build

neural_network/back_propagation_neural_network.py:113–118

(self)

        self.layers.append(layer)

    def build(self):
        for i, layer in enumerate(self.layers[:]):
            if i < 1:
                layer.is_input_layer = True
            else:
                layer.initializer(self.layers[i - 1].units)

    def summary(self):
        for i, layer in enumerate(self.layers[:]):